Add new Jupyter notebook for structured generation using Vision Language Models

- Introduced a new notebook demonstrating the extraction of structured information from documents using the SmolVLM-500M-Instruct model.
- Included installation instructions, model initialization, and example usage with a focus on generating structured tags and confidence scores from images.
- Added detailed markdown explanations for each step of the process.

Author: davidberenstein1957

notebooks/en/structured-generation-vision-languag-models-copy.ipynb renamed to notebooks/en/structured_generation_vision_languag_models.ipynb

@@ -19,7 +19,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!pip install outlines transformers torch flash-attn outlines datasets sentencepiece gradio"
+    "%pip install accelerate outlines transformers torch flash-attn outlines datasets sentencepiece gradio"
    ]
   },
   {